Literature DB >> 35471698

Proclarix, A New Biomarker for the Diagnosis of Clinically Significant Prostate Cancer: A Systematic Review.

Míriam Campistol1,2, Juan Morote3,4, Lucas Regis3,4, Ana Celma3,4, Jacques Planas3,4, Enrique Trilla3,4.   

Abstract

INTRODUCTION: Multiparametric magnetic resonance imaging (mpMRI) has improved the early detection of clinically significant prostate cancer (csPCa). However, an appropriate selection of men for mpMRI or prostate biopsy is still challenging, which is why new biomarkers or predictive models are recommended to determine those patients who will benefit from prostate biopsy. Proclarix is a new test that provides the risk of csPCa based on thrombospondin-1 (THBS1), cathepsin D (CTSD), prostate-specific antigen (PSA), and percentage of free PSA (%fPSA), as well as age. This systematic review analyzes the current clinical status of Proclarix and future development. EVIDENCE ACQUISITION: A systematic review of the literature was carried out by two independent reviewers. The Medical Subject Heading (MeSH) terms 'prostate', 'thrombospondin-1', 'cathepsin-D' and 'Proclarix' were used. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the Population, Intervention, Comparison and Outcomes (PICO) selection criteria were followed. Finally, four articles analyzed the clinical usefulness of Proclarix. EVIDENCE SYNTHESIS: Proclarix has been developed in men with PSA levels between 2 and 10 ng/mL, normal digital rectal examination (DRE), and prostate volume (PV)​ ≥ 35 cm3. Proclarix is associated with the PCa grade group and is more effective than %fPSA in detecting csPCa. Two studies analyzed the efficacy of Proclarix in men undergoing guided and systematic biopsies, obtaining similar results to PSA density.
CONCLUSION: Initial studies have shown the potential benefit of Proclarix in patients with specific characteristics. Future studies are needed to verify the clinical usefulness of Proclarix in men with suspected PCa before and after mpMRI.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Year:  2022        PMID: 35471698     DOI: 10.1007/s40291-022-00584-4

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  9 in total

Review 1.  Risk factors for Gleason Score upgrading following radical prostatectomy.

Authors:  David R Alchin; Declan Murphy; Nathan Lawrentschuk
Journal:  Minerva Urol Nefrol       Date:  2016-12-22       Impact factor: 3.720

2.  DD3(PCA3), a very sensitive and specific marker to detect prostate tumors.

Authors:  Jacques B de Kok; Gerald W Verhaegh; Rian W Roelofs; Daphne Hessels; Lambertus A Kiemeney; Tilly W Aalders; Dorine W Swinkels; Jack A Schalken
Journal:  Cancer Res       Date:  2002-05-01       Impact factor: 12.701

3.  Cancer genetics-guided discovery of serum biomarker signatures for diagnosis and prognosis of prostate cancer.

Authors:  Igor Cima; Ralph Schiess; Peter Wild; Martin Kaelin; Peter Schüffler; Vinzenz Lange; Paola Picotti; Reto Ossola; Arnoud Templeton; Olga Schubert; Thomas Fuchs; Thomas Leippold; Stephen Wyler; Jens Zehetner; Wolfram Jochum; Joachim Buhmann; Thomas Cerny; Holger Moch; Silke Gillessen; Ruedi Aebersold; Wilhelm Krek
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-07       Impact factor: 11.205

Review 4.  Critical appraisal of prostate-specific antigen in prostate cancer screening: 20 years later.

Authors:  Kenneth J Pienta
Journal:  Urology       Date:  2009-05       Impact factor: 2.649

5.  PROPOSe: A Real-life Prospective Study of Proclarix, a Novel Blood-based Test to Support Challenging Biopsy Decision-making in Prostate Cancer.

Authors:  Thomas Steuber; Isabel Heidegger; Mona Kafka; Martin A Roeder; Felix Chun; Felix Preisser; Rein-Jüri Palisaar; Julian Hanske; Lars Budaeus; Ralph Schiess; Thomas Keller; Axel Semjonow; Peter Hammerer; Lukas Manka; Thorsten Ecke; Christian Schwentner; Carsten Ohlmann
Journal:  Eur Urol Oncol       Date:  2021-01-06

6.  INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of prostate cancer.

Authors:  Edward Johnston; Hayley Pye; Elisenda Bonet-Carne; Eleftheria Panagiotaki; Dominic Patel; Myria Galazi; Susan Heavey; Lina Carmona; Alexander Freeman; Giorgia Trevisan; Clare Allen; Alexander Kirkham; Keith Burling; Nicola Stevens; David Hawkes; Mark Emberton; Caroline Moore; Hashim U Ahmed; David Atkinson; Manuel Rodriguez-Justo; Tony Ng; Daniel Alexander; Hayley Whitaker; Shonit Punwani
Journal:  BMC Cancer       Date:  2016-10-21       Impact factor: 4.430

7.  SYRCLE's risk of bias tool for animal studies.

Authors:  Carlijn R Hooijmans; Maroeska M Rovers; Rob B M de Vries; Marlies Leenaars; Merel Ritskes-Hoitinga; Miranda W Langendam
Journal:  BMC Med Res Methodol       Date:  2014-03-26       Impact factor: 4.615

8.  Development and clinical testing of individual immunoassays for the quantification of serum glycoproteins to diagnose prostate cancer.

Authors:  Kathrin Endt; Jens Goepfert; Aurelius Omlin; Alcibiade Athanasiou; Pierre Tennstedt; Anna Guenther; Maurizio Rainisio; Daniel S Engeler; Thomas Steuber; Silke Gillessen; Thomas Joos; Ralph Schiess
Journal:  PLoS One       Date:  2017-08-02       Impact factor: 3.240

9.  A 4K score/MRI-based nomogram for predicting prostate cancer, clinically significant prostate cancer, and unfavorable prostate cancer.

Authors:  Vinayak G Wagaskar; Stanislaw Sobotka; Parita Ratnani; James Young; Anna Lantz; Sneha Parekh; Ugo Giovanni Falagario; Li Li; Sara Lewis; Kenneth Haines; Sanoj Punnen; Peter Wiklund; Ash Tewari
Journal:  Cancer Rep (Hoboken)       Date:  2021-03-04
  9 in total

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